Top AI Jobs in Singapore

Develop high-quality MNAND test strategies, conduct electrical failure analysis, and improve test efficiency and quality through collaboration and data analysis.

As a Senior Product Engineer, you will develop test strategies for Managed NAND, analyze electrical failures, and collaborate with cross-functional teams.

The engineer will develop MNAND test strategies, analyze electrical failures, improve product yields, and establish testing business processes.

The Semiconductor Product Engineer develops test strategies, conducts electrical failure analysis, and collaborates on testing and data analysis for memory products.

The role involves developing MNAND test strategies, conducting failure analysis, collaborating with teams on testing, and improving processes in a high-paced engineering environment.

The role focuses on process development and improvement in semiconductor manufacturing, leading technical projects, mentoring teams, and driving innovations.

As a Technical Consultant at Appian, you will develop software solutions using the Appian platform and engage with customers post-sales throughout the project life cycle.

The AI and Data Application Intern will build and deploy AI applications, collaborate with data teams, and learn software engineering methods.

The Senior AI Engineer will develop generative AI applications for healthcare, focusing on innovative solutions to improve patient outcomes. Key responsibilities include deploying AI technologies, model training, and building scalable frameworks.

Lead the design, development, and deployment of AI-driven 6G solutions, collaborating with experts in telecommunications to create scalable AI applications.

The role involves designing and deploying AI solutions using graph databases, LLMs, and providing consulting for customer engagements to enhance business performance.

Lead the development of AI tools and ML systems to enhance engineering processes at Grab. Collaborate with teams to apply AI research and ensure production-ready solutions.

The Principal Software Engineer will lead AI initiatives, optimize development processes, and mentor engineers, enhancing productivity at Grab.

As a Principal Software Engineer, you will lead AI-driven software development initiatives, enhance productivity, and mentor engineers at Grab.

The Lead Software Engineer will develop AI-assisted product solutions, optimize workflows for engineers, manage projects, and mentor junior engineers.

The role requires developing and implementing quantitative models and strategies for trading, risk management, and decision-making while collaborating with sales teams and providing infrastructure support for analytical libraries.

The role involves developing optimizations for large model operators, enhancing performance through collaboration on NPU software and hardware, and innovating with cutting-edge technology in AI.

Welo Data seeks fluent Indonesian speakers for remote tasks in AI training including annotation, evaluation, and prompt creation, offering flexible opportunities.

Welo Data seeks native Nepali speakers to join a flexible talent community, contributing to AI projects involving annotation, evaluation, and data generation, with growth opportunities.

The AI Specialist will develop data pipelines, build predictive models, and implement generative AI solutions across various domains while collaborating with teams.

Responsible for developing AI search agents and RAG pipelines, optimizing performance, and monitoring production environments while ensuring accuracy and efficiency.

The VP of AI at OKX will drive AI strategy, lead a top-tier team, innovate technologies, and ensure AI integration across business domains.

Develop AI solutions leveraging large language models, lead AI projects, integrate AI workflows, and collaborate with teams to enhance productivity.

Interns will collaborate with the founding engineering team to leverage AI for simplifying blockchain data queries, enhancing accessibility and understanding.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, ensuring cultural relevance and accuracy, while collaborating with interdisciplinary teams.